Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS, and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the struc...

Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure a...

In statistical speech synthesis, the quality of the synthesized speech depends on the quality of training data. As the sampling rate of speech is one of the effective factors, speech data has been recently recorded at a high sampling rate. However, the sampling rates of speech data recorded in the past or collected from the Internet were often low. Therefore, to use these speech data effectivel...

A theory of minimizing distortion in reconstructing a stationary signal under a constraint on the number of bits per sample is developed. We first analyze the optimal sampling frequency required in order to achieve the optimal distortion-rate tradeoff for a stationary bandlimited signal. To this end, we consider a combined sampling and source coding problem in which an analog Gaussian source is...

Joint estimation of carrier frequency and direction of arrival (DOA) for multiple signals has been found in many practical applications such as Cognitive Radio (CR). However, Nyquist sampling mechanism is costly or implemented due to wide spectrum range. Taking advantage of sub-Nyquist sampling technology, some array receiver architectures are proposed to realize joint estimation of carrier fre...

a new multi-stage fuzzy (msf) controller based on multi-objective harmony search algorithm (mohsa) is proposed in this paper to solve the load frequency control (lfc) problem of power systems in deregulated environment. lfc problem are caused by load perturbations, which continuously disturb the normal operation of power system. the objectives of lfc are to mini small size the transient deviati...

A goal in the software radio design philosophy is to place the analog-to-digital converter as near the antenna as possible. This objective has been demonstrated for the case of a single input signal. Bandpass sampling has been applied to downconvert, or intentionally alias, the information bandwidth of a radio frequency (RF) signal to a desired intermediate frequency. The design of the software...

Received Feb 10, 2017 Revised May 6, 2017 Accepted May 21, 2017 A Sampling rate is less than Nyquist rate in some applications because of hardware limitations. Consequently, extensive researches have been conducted on frequency detection from sub-sampled signals. Previous studies on under-sampling frequency measurements have mostly discussed undersampling frequency detection in theory and sugge...

Software defined radio (SDR) is emerging as a powerful platform for future generation cellular systems, due to its capability to operate conforming to multiple mobile radio standards. Channelizer in an SDR operates at the highest sampling rate and hence a low complexity design is needed for the most computationally intensive part of the SDR receiver. The channel filters in the channelizer extra...

We demonstrate a compact source of energetic and phase-locked multi-terahertz pulses at a repetition rate of 190 kHz. Difference frequency mixing of the fundamental output of an Yb:KGW amplifier with the idler of an optical parametric amplifier in GaSe and LiGaS2 crystals yields a passively phase-locked train of waveforms tunable between 12 and 42 THz. The shortest multi-terahertz pulses contai...