Category Archive: 'matlab simulation projects for ece'

Performance analysis of microcontroller and FPGA based Signal Processing a case study on FIR filter design and implementation

Embedded Computing platforms based on Microcontroller, Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) are subjects of interest at Under Graduate(UG) and Post Graduate(PG) levels in Electronics and Communication Engineering. Real Time Signal Processing algorithms are generally implemented on any one of these platforms. The paper presents a comparative performance analysis between Microcontroller and FPGA based signal processing by way of […]

System architectures and digital signal processing algorithms for enhancing the output audio quality of stereo FM broadcast receivers

This paper presents two FM receiver architectures and three digital signal processing algorithms for enhancing the output audio quality of FM broadcast receivers. The two receiver architectures differ only in the front-end processing for estimating the carrier-to-noise ratio and noise floors of the stereo audiosignals. The shared back-end processing consists of three algorithms to suppress the noise in the audio signal, to detect […]

Nonlinear Cognitive Signal Processing in Ultralow-Power Programmable Analog Hardware

This brief presents a programmable ultralow-power analog neural signal processing system. The analog hardware implements a nonlinear model that can replicate and predict, in real time, the temporal neural codes used in complex brain functions. The transistors of the analog circuits operate in weak inversion. A digital control system is used to program model parameters and calibrate mismatches. […]

Natural Sound Rendering for Headphones: Integration of signal processing techniques

With the strong growth of assistive and personal listening devices, natural sound rendering over headphones is becoming a necessity for prolonged listening in multimedia and virtual reality applications. The aim of natural sound rendering is to naturally recreate the sound scenes with the spatial and timbral quality as natural as possible, so as to achieve […]

Comparison of parametric methods for radar signal processing

The paper deals with comparison of parametric power spectral density methods for the utilization in the meteorological radar. Type of the considered radar is pulse radar of frequency modulated pulses. We have compared duration of signal processing requested by single methods involved in the test. The methods used are the Auto Regressive (AR) model, MUSIC method, Eigen Vector […]

Signal Processing Drives a Medical Sensor Revolution [Special Reports]

Sensor technology’s impact on health care is growing rapidly. New applications are appearing almost daily. Wireless sensors are now used in an ever-growing number ways, such as monitoring glucose levels in diabetics, recording and tracking heart irregularities, and diagnosing infectious diseases. ,Linking sensors to mobile phones has made wearable sensors a reality allowing individuals to […]

Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques

Cervical auscultation is the recording of sounds and vibrations caused by the human body from the throat during swallowing. While traditionally done by a trained clinician with a stethoscope, much work has been put toward developing more sensitive and clinically useful methods to characterize the data obtained with this technique. The eventual goal of the […]

Linewidth-Tolerant Joint Digital Signal Processing for 16QAM Nyquist WDM Superchannel

The performance of Nyquist wavelength division multiplexing (WDM) superchannel, using 16-ary quadrature amplitude modulation (16QAM), is severely degraded due to the existence of inter-channel interference and full-response equalization-enhanced in-band noise. Here, we propose a joint digitalsignal processing (DSP) technique incorporating digital spectral shaping and maximum likelihood sequence detection for 16QAM Nyquist WDM superchannel with a symbol rate […]

Advances in fractional calculus: Control and signal processing applications

Fractional calculus is more than a three hundred-year-old concept way back during the time of de l’Hospital and Leibniz focusing on derivative and integrals having non-integer orders. Almost four decades ago, engineers and scientists began to venture into the field of fractional calculus by unfolding its applications where fractional differential equation models are valid. It […]

Razor Based Programmable Truncated Multiply and Accumulate, Energy-Reduction for Efficient Digital Signal Processing

Fault tolerant techniques can extend the power savings achievable by dynamic voltage scaling by trading accuracy and/or timing performance against power. Such energy improvements have a strong dependency on the delay distribution of the circuit and the statistical characteristics of the input signal. Independently, programmable truncated multipliers also achieve power benefits at the expense of degradation […]