Shared spectrum utilization is unavoidable because of the continuous rise of wireless usage
and bandwidth needs. Effective spectrum sharing can be done by spectrum monitoring that …

The complex self‐assembled network of neurons and synapses that comprises the
biological brain enables natural information processing with remarkable efficiency …

Spoken alphabet recognition as one of the subsets of speechrecognition and pattern
recognition has many applications. Unfortunately, spoken alphabet recognition might not be …

The study proposes an improved feature extraction method that is called Wavelet Cepstral
Coefficients (WCC). In traditional cepstral analysis, the cepstrums are calculated with the …

Automatic speech processing systems are employed more and more often in real
environments. Although the underlying speech technology is mostly language independent …

Traditional cepstral analysis methods are often used as part of feature extraction process in
speech recognition. However the cepstral analysis method uses the Discrete Fourier …

Frequency-hopping spread spectrum (FHSS) spreads the signal over a wide bandwidth
where the carrier frequencies change rapidly according to a pseudorandom number making …

Speech is the most popular and efficient way to communicate and interact with each other. It
is also a useful medium to connect with the machine. This paper presents a technique for …

The research is about the feature extraction and recognition of Bangla (Bengali) phoneme,
word and command. Power spectral analysis as a feature extraction technique used. Each …

Frequency-hopping spread spectrum (FHSS) spreads the signal over a wide bandwidth,
where the carrier frequencies change rapidly according to a pseudorandom number making …