Signal Processing - overview
Signal Processing (SP) is one of the most extensive research areas at IBM. Our work is concentrated around the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and other signals.
IBM is actively pursuing research activities in the field of signal processing for volatile and non-volatile memories, including DRAM, NAND Flash, phase-change memory (PCM), and magnetic RAM technologies. These research activities include the design of advanced error correction algorithms, with particular emphasis on high speed VLSI realizations. Additional research topics include, information theoretic characterization of the fundamental limits of solid state storage, constrained coding for nonvolatile memories, coding, modulation, demodulation and equalization for electrical and optical communication links.
Another key research field actively pursued in IBM research is that of lossy and lossless compression algorithm, with key emphasis on ultra high speed.
IBM is hosting a number of Student Workshops, including the IBM T.J. Watson Nonvolatile Memory Student Workshop 2010.
IBM has made significant contributions in these areas from signal compression, analysis to secure delivery and transmission, and has participated in many of the major video and audio signal compression standardization activities such as JPEG, MPEG-2, MPEG-4, and MPEG-7. IBM also has several industry-leading products in this area such as ViaVoice, MPEG-2 encoder chips, Set-top box chips, TransNote and IBM Microdrive.