Showing items related by title, author, creator and subject.

• Fusion of Sparse Reconstruction Algorithms in Compressed Sensing 

  Ambat, Sooraj K (2018-06-08)

  Compressed Sensing (CS) is a new paradigm in signal processing which exploits the sparse or compressible nature of the signal to significantly reduce the number of measurements, without compromising on the signal reconstruction ...

• Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling 

  Satyanarayana, J V (2018-05-10)

  Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce ...

• Nonstationary Techniques For Signal Enhancement With Applications To Speech, ECG, And Nonuniformly-Sampled Signals 

  Sreenivasa Murthy, A (2015-07-22)

  For time-varying signals such as speech and audio, short-time analysis becomes necessary to compute specific signal attributes and to keep track of their evolution. The standard technique is the short-time Fourier transform ...