Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarIEEE Signal Processing Magazine, Volume 34
Volume 34, Number 1, January 2017
- Hana Godrich, Arye Nehorai, Ali Tajer, Maria Sabrina Greco, Changshui Zhang:
Special Article Series on Signal Processing Education via Hands-On and Design Projects [From the Guest Editors]. 13-15 - Tim Schäck, Michael Eric Muma, Abdelhak M. Zoubir:
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice. 16-30 - Qing Zhuo, Yanpin Ren, Yongheng Jiang, Changshui Zhang:
Hands-On Learning Through Racing: Signal processing and engineering education through the China National Collegiate Intelligent Model Car Competition. 31-39 - Erik G. Larsson, Danyo Danev, Mikael Olofsson, Simon Sorman:
Teaching the Principles of Massive MIMO: Exploring reciprocity-based multiuser MIMO beamforming using acoustic waves. 40-47 - Xiang-Gen Xia:
Small Data, Mid Data, and Big Data Versus Algebra, Analysis, and Topology [Perspectives]. 48-51 - Richard G. Baraniuk, Thomas Goldstein, Aswin C. Sankaranarayanan, Christoph Studer, Ashok Veeraraghavan, Michael B. Wakin:
Compressive Video Sensing: Algorithms, architectures, and applications. 52-66 - Ruhi Sarikaya:
The Technology Behind Personal Digital Assistants: An overview of the system architecture and key components. 67-81 - Denis A. Gudovskiy, Lichung Chu:
An Accurate and Stable Sliding DFT Computed by a Modified CIC Filter [Tips & Tricks]. 89-93 - Sun-Yuan Kung:
Compressive Privacy: From Information Estimation Theory to Machine Learning [Lecture Notes]. 94-112 - Muhammad Salman Khan, James Jenkins, Néstor Becerra Yoma:
Discovering New Worlds: A review of signal processing methods for detecting exoplanets from astronomical radial velocity data [Applications Corner]. 104-115
Volume 34, Number 2, March 2017
- Rabab K. Ward:
Introducing the IEEE Signal Processing Society Executive Committee [President's Message]. 5-6 - John Edwards:
Stepping Up Security with Signal Processing: Innovative tools and approaches address threats on multiple fronts [Special Reports]. 14-17 - John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying Jennifer Chen, Wade Trappe:
Signal Processing for Smart Vehicle Technologies: Part 2 [From the Guest Editors]. 18-21 - Sujeet Patole, Murat Torlak, Dan Wang, Murtaza Ali:
Automotive Radars: A review of signal processing techniques. 22-35 - Florian Engels, Philipp Heidenreich, Abdelhak M. Zoubir, Friedrich K. Jondral, Markus Wintermantel:
Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation. 36-46 - Stefan Schwarz, Tal Philosof, Markus Rupp:
Signal Processing Challenges in Cellular-Assisted Vehicular Communications: Efforts and developments within 3GPP LTE and beyond. 47-59 - Rickard Karlsson, Fredrik Gustafsson:
The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime. 60-69 - Zhijian James Wu, Sanjeev M. Naik:
DSP Applications in Engine Control and Onboard Diagnostics: Enabling greener automobiles. 70-81 - Bashar I. Ahmad, James K. Murphy, Simon J. Godsill, Patrick M. Langdon, Robert Hardy:
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework. 82-94 - Ahmed Badr, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos:
Perfecting Protection for Interactive Multimedia: A survey of forward errror correction for low-delay interactive applications. 95-113 - Konstantinos P. Michmizos, Blerta Lindqvist, Stephen Wong, Eric L. Hargreaves, Konstantinos Psychas, Georgios D. Mitsis, Shabbar F. Danish, Konstantina S. Nikita:
Computational Neuromodulation: Future Challenges for Deep Brain Stimulation [Life Sciences]. 114-119 - Wade Trappe:
No Need for Speed : More Signal Processing Innovation Is Required Before Adopting Automated Vehicles [In the Spotlight]. 124-122
Volume 34, Number 3, May 2017
- John Edwards:
New Directions in Navigation and Positioning: Signal processing-enabled technologies pinpoint people, places, and things [Special Reports]. 10-13 - Xiao-Ping Steven Zhang, Fang Wang:
Signal Processing for Finance, Economics, and Marketing: Concepts, framework, and big data applications. 14-35 - Hüseyin Hacihabiboglu, Enzo De Sena, Zoran Cvetkovic, James D. Johnston, Julius O. Smith III:
Perceptual Spatial Audio Recording, Simulation, and Rendering: An overview of spatial-audio techniques based on psychoacoustics. 36-54 - Zhiwei Xiong, Yueyi Zhang, Feng Wu, Wenjun Zeng:
Computational Depth Sensing : Toward high-performance commodity depth cameras. 55-68 - Mónica F. Bugallo, Angela M. Kelly:
Engineering Outreach: Yesterday, Today, and Tomorrow [SP Education]. 69-100 - Rodrigo Capobianco Guido:
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes]. 89-100 - Jørgen Arendt Jensen, Carlos Armando Villagomez Hoyos, Simon Holbek, Kristoffer Lindskov Hansen:
Velocity Estimation in Medical Ultrasound [Life Sciences]. 94-100 - Lifan Zhao, Xiumei Li, Lu Wang, Guoan Bi:
Autocalibrated Sampling Rate Conversion in the Frequency Domain [Tips & Tricks]. 101-106
Volume 34, Number 4, July 2017
- Andres Kwasinski, Min Wu:
What Do You Consider a "Successful" Career? : Perspectives from signal processing-trained professionals [Community Voices]. 10-12 - John Edwards:
Innovative Sensors Promise Longer and Healthier Lives: Signal processing leads to devices that provide faster and more insightful monitoring and diagnoses [Special Reports]. 14-17 - Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst:
Geometric Deep Learning: Going beyond Euclidean data. 18-42 - Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde:
Optimal Mass Transport: Signal processing and machine-learning applications. 43-59 - Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric:
Adaptive Importance Sampling: The past, the present, and the future. 60-79 - Yubin Deng, Chen Change Loy, Xiaoou Tang:
Image Aesthetic Assessment: An experimental survey. 80-106 - Zixing Zhang, Nicholas Cummins, Björn W. Schuller:
Advanced Data Exploitation in Speech Analysis: An overview. 107-129 - John H. L. Hansen, Carlos Busso, Yang Zheng, Amardeep Sathyanarayana:
Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed. 130-142 - Craig T. Jin, Matthew E. P. Davies, Patrizio Campisi:
Embedded Systems Feel the Beat in New Orleans: Highlights from the IEEE Signal Processing Cup 2017 Student Competition [SP Competitions]. 143-170 - Gianni Pasolini, Alessandro Bazzi, Flavio Zabini:
A Raspberry Pi-Based Platform for Signal Processing Education [SP Education]. 151-158 - Ljubisa A. Stankovic, Milos Dakovic, Ervin Sejdic:
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]. 176-182 - Richard Lyons:
Digital Envelope Detection: The Good, the Bad, and the Ugly [Tips and Tricks]. 183-187 - Magdy Bayoumi:
It was Really Lagniappe!: Highlights from ICASSP 2017 in New Orleans [Conference Highlights]. 188-191 - Nasir D. Memon:
How Biometric Authentication Poses New Challenges to Our Security and Privacy [In the Spotlight]. 196-194
Volume 34, Number 5, September 2017
- Rabab K. Ward:
Careers in Signal Processing: A Diverse Field Impacting the Future [President's Message]. 5-11 - John Edwards:
Building the Foundation for "Generation Robot": Signal Processing is Helping to Make Robots a Part of Everyday Life [Special Reports]. 8-11 - Pau Closas, Marco Luise, Jose-Angel Avila-Rodriguez, Christopher Hegarty, Jiyun Lee:
Advances in Signal Processing for GNSSs [From the Guest Editors]. 12-15 - Zheng Yao, Mingquan Lu:
Signal Multiplexing Techniques for GNSS: The Principle, Progress, and Challenges Within a Uniform Framework. 16-26 - Davide Margaria, Beatrice Motella, Marco Anghileri, Jean-Jacques Floch, Ignacio Fernandez-Hernandez, Matteo Paonni:
Signal Structure-Based Authentication for Civil GNSSs: Recent Solutions and Perspectives. 27-37 - Elena Simona Lohan, Diego Alonso de Diego, José A. Lopez-Salcedo, Gonzalo Seco-Granados, Pedro Boto, Pedro Fernandes:
Unambiguous Techniques Modernized GNSS Signals: Surveying the solutions. 38-52 - Sana Ullah Qaisar, Craig R. Benson:
Processing Cost of Doppler Search in GNSS Signal Acquisition: Measuring Doppler shift in navigation satellite signals. 53-58 - Seung-Hyun Kong:
High Sensitivity and Fast Acquisition Signal Processing Techniques for GNSS Receivers: From fundamentals to state-of-the-art GNSS acquisition technologies. 59-71 - Pau Closas, Adria Gusi Amigo:
Direct Position Estimation of GNSS Receivers: Analyzing main results, architectures, enhancements, and challenges. 72-84 - Moeness G. Amin, Daniele Borio, Yimin D. Zhang, Lorenzo Galleani:
Time-Frequency Analysis for GNSSs: From interference mitigation to system monitoring. 85-95 - Jiyun Lee, Y. T. Jade Morton, Jin-Sil Lee, Hee-Seung Moon, Jiwon Seo:
Monitoring and Mitigation of Ionospheric Anomalies for GNSS-Based Safety Critical Systems: A review of up-to-date signal processing techniques. 96-110 - Zaher M. Kassas, Joe Khalife, Kimia Shamaei, Joshua Morales:
I Hear, Therefore I Know Where I Am: Compensating for GNSS Limitations with Cellular Signals. 111-124 - Dimitrios Lymberopoulos, Jie Liu:
The Microsoft Indoor Localization Competition: Experiences and Lessons Learned. 125-140 - S. M. Zafaruddin, Itsik Bergel, Amir Leshem:
Signal Processing for Gigabit-Rate Wireline Communications: An Overview of the State of the Art and Research Challenges. 141-164 - Alessandro Artusi, Thomas Richter, Touradj Ebrahimi, Rafal K. Mantiuk:
High Dynamic Range Imaging Technology [Lecture Notes]. 165-172 - Lei Zhang, Wangmeng Zuo:
Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes]. 172-179 - Peter Apostolov, Borislav Yurukov, Alexey K. Stefanov:
An Easy and Efficient Method for Synthesizing Two-Dimensional Finite Impulse Response Filters with Improved Selectivity [Tips & Tricks]. 180-183 - Logan L. Grado, Matthew D. Johnson, Theoden I. Netoff:
The Sliding Windowed Infinite Fourier Transform [Tips & Tricks]. 183-188 - Daniel Bone, Chi-Chun Lee, Theodora Chaspari, James Gibson, Shrikanth Narayanan:
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]. 196-195
Volume 34, Number 6, November 2017
- Yonina C. Eldar, Alfred O. Hero III, Li Deng, Jeffrey A. Fessler, Jelena Kovacevic, H. Vincent Poor, Steve Young:
Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum]. 8-23 - Andres Kwasinski, Min Wu:
What Is the Future of Signal Processing?: Views Across Our Community [Community Voices]. 14-25 - John Edwards:
Medical Optical Imaging: Signal Processing Leads to New Methods of Detecting Life-Threatening Situations [Special Reports]. 17-20 - Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding [From the Guest Editors]. 24-25 - Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath:
Deep Reinforcement Learning: A Brief Survey. 26-38 - Seunghoon Hong, Suha Kwak, Bohyung Han:
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. 39-49 - Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
The Robustness of Deep Networks: A Geometrical Perspective. 50-62 - Michael T. McCann, Kyong Hwan Jin, Michael Unser:
Convolutional Neural Networks for Inverse Problems in Imaging: A Review. 85-95 - Dhanesh Ramachandram, Graham W. Taylor:
Deep Multimodal Learning: A Survey on Recent Advances and Trends. 96-108 - Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. 117-129 - Jongyoo Kim, Hui Zeng, Deepti Ghadiyaram, Sanghoon Lee, Lei Zhang, Alan C. Bovik:
Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment. 130-141 - Stefano Fortunati, Fulvio Gini, Maria S. Greco, Christ D. Richmond:
Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental Findings and Applications. 142-157 - Soo-Chang Pei, Kuo-Wei Chang:
The Mystery Curve: A Signal Processing Point of View [Lecture Notes]. 158-163 - Vicente Torres, Javier Valls, Richard Lyons:
Fast- and Low-Complexity atan2(a, b) Approximation [Tips and Tricks]. 164-169 - Xiao-Ping Steven Zhang:
To the Victor Go the Spoils: AI in Financial Markets [Perspectives]. 176-173
maintained by 
at 
at 
data released under the ODC-BY 1.0 license; see also our legal information page
last updated on 2018-04-25 17:48 CEST by the dblp team