Multiple-Ring-Core FM-EDF for Weakly-Coupled MDM Amplification With Low Differential Modal Gain

Weakly Pulse - Coupled Oscillators , FM Interactions , Synchronization , and Oscillatory

| We study pulse-coupled neural networks that satisfy only two assumptions: each isolated neuron res periodically, and the neurons are weakly connected. Each such network can be transformed by a piece-wise continuous change of variables into a phase model, whose synchronization behavior and oscillatory associative properties are easier to analyze and understand. Using the phase model, we can pr...

A Differential FM Detector for Low-IF Radios

This paper describes the implementation of a differential Continuous Phase FSK (CPFSK) detector suitable for Low-IF receiver architectures. By using both in-phase and quadrature channels the double frequency term resulting after differential detection can be avoided. The digital detector assumes limited I/Q input signals which are 16 times oversampled. The proposed detector can be used for CPFS...

FM for Cochlear Implants Chapter 12 Effects of FM Receiver Gain on Performance with Cochlear Implants

A Compact Scheme for a Partial Integro-Differential Equation with Weakly Singular Kernel

Compact finite difference scheme is applied for a partial integro-differential equation with a weakly singular kernel. The product trapezoidal method is applied for discretization of the integral term. The order of accuracy in space and time is , where . Stability and convergence in  norm are discussed through energy method. Numerical examples are provided to confirm the theoretical prediction ...

Application of Tau Approach for Solving Integro-Differential Equations with a Weakly Singular Kernel

In this work, the convection-diffusion integro-differential equation with a weakly singular kernel is discussed. The  Legendre spectral tau method is introduced for finding the unknown function. The proposed method is based on expanding the approximate solution as the elements of a shifted Legendre polynomials. We reduce the problem to a set of algebraic equations by using operational matrices....