In this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. This adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. In addition, an important feature of the proposed structure is that the conventional bias existing ...

We present a low complexity speech enhancement technique for real-life multi-source environments. Assuming that the speaker identity is known a priori, we present the idea of incorporating speaker model to enhance a target signal corrupted in non-stationary noise in a reverberant scenario. Based on experiments, this helps to improve the limited performance of noise-tracking based speech enhance...

In certain communication environments, digital speech transmission systems must work in severe acoustic environments where the noise levels exceeds 110 dB. In other environments, speakers must use an oxygen face mask. In both situations, the intelligibility of encoded speech falls below an acceptable level. We have developed a technique for improving speech quality in these situations. Previous...

Low Noise Amplifier (LNA) is one of the essential components in Ultra Wideband (UWB) devices. Conventional LNA suffers from large chip area, high power consumption and inadequate Noise Figure (NF). A compact UWB LNA in the bandwidth of 3.1 to 10.6 GHz is proposed. The design is based on inductor-less configuration using the resistive shunt feedback topology and noise canceling techniques for wi...

Adaptive-signal-processing techniques have been employed with great success in such applications as: system identi"cation, channel equalization, statistical prediction and noise/echo cancellation. From a mathematical point of view, there is little di!erence between these applications and the types of operations required by control systems to control a dynamical system. This paper presents an ap...

Adaptive processing for canceling noise is a powerful technology signal that can completely remove background noise. In general, various adaptive filter algorithms are used, many of which lack the stability to handle convergence rate, number coefficient variations, and error accuracy within tolerances. Unlike traditional methods, accomplish these desirable characteristics as well efficiently ca...

In this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. This adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. In addition, an important feature of the proposed structure is that the conventional bias existing ...

A single-ended-to-differential conversion balun-LNA is proposed in this paper for subsampling architecture of receiver. The LNA adopts the inductively degenerated common-source common-gate (cascade) structure with noise canceling technique, which can achieve high gain and low noise figure without extra components and power consumption. For the subsampling receiver of IoT narrowband application,...

This paper presents a design of Low Noise Amplifier (LNA) for Cognitive Radios (CRs) receiver and it operates from 50 MHz to 5 GHz. The proposed design is consisted of two stages, the first one is a combination of cascode with common gate stage to improve the gain, power consumption, and the input matching. The second stage is a common source (CS) for canceling the noise and distortion of CG of...

The application of stationary echo canceling to ultrasonic estimation of blood velocities using time-domain cross-correlation is investigated. Expressions are derived that show the influence from the echo canceler on the signals that enter the cross-correlation estimator. It is demonstrated that the filtration results in a velocity-dependent degradation of the signal-to-noise ratio. An analytic...