CPM signals find widespread use in wireless communication systems due to their constant modulus property and spectral efficiency. Frequency discrimination based CPM demodulation approaches require efficient instantaneous frequency tracking. Prior attempts at frequency tracking via adaptive linear prediction have invoked the use of the fixed step-size LMS algorithm. In this paper, we present an ...

I always had difficulties in understanding frequency modulation (FM) and its frequency spectrum. Even for the pure tone modulation, the FM spectrum consists of an infinite number of sidebands whose signs change from one sideband to the next one and whose amplitudes are given by the horrible Bessel functions. . . I work for Zurich Instruments, a Swiss maker of lock-in amplifiers and it has becom...

For MSK, three demodulators are compared. The rst demodulation algorithm, partially coherent demodulation, is based on a classical matched lter approach combined with feedforward phase synchronization, whereas the second algorithm, block demodulation, is based on minimizing a distance measure based on the symbol vector trial and the observed di erential phase vector. The third algorithm is base...

Previously investigated multicomponent AM–FM demodulation techniques either assume that the individual component signals are spectrally isolated from each other or that the components can be isolated by linear time-invariant filtering techniques and, consequently, break down in the case where the components overlap spectrally or when one of the components is stronger than the other. In this pap...

Electroceuticals are medical devices that employ electric signals to alter the activity of specific nerve fibers to achieve therapeutic effects. The rapid growth of RF microelectronics has resulted in the development of very small, portable, and inexpensive shortwave and microwave radio frequency (RF) amplifiers, raising the possibility of utilizing these new RF technologies to develop non-cont...

Learning via Demodulation in a Deep Neural Network Andrew J.R. Simpson #1 # Centre for vision, speech and signal processing (CVSSP), University of Surrey, Guildford, Surrey, UK 1 [email protected] Abstract—Inspired by the brain, deep neural networks (DNN) are thought to learn abstract representations through their hierarchical architecture. However, at present, how this happens is not...

We recently presented a new asynchronous demodulation method for phase-sampling interferometry. The method is based in the principal component analysis (PCA) technique. In the former work, the PCA method was derived heuristically. In this work, we present an in-depth analysis of the PCA demodulation method.

We present a novel precoding or modulation scheme (matrix modulation) that allows parallel transmission of several data signals over an unknown multiple-input multiple-output (MIMO) channel. We first present a theorem on unique signal demodulation and an efficient iterative demodulation algorithm for transmission over an unknown instantaneous-mixture channel. We then generalize our results to a...

A current DSRC system with 5.8 GHz for Electronic Toll Collection (ETC) is briefly discussed. The d=1 modulation code and direct demodulation system using the low IF signal are proposed for DSRC systems in the next generation. Furthermore, a simulation result of direct demodulation using Viterbi detection is presented. Key-Words: Modulation code, Viterbi detection, QPSK, Low IF, Vehicle communi...