Abstract Multiport interferometers based on integrated beamsplitter meshes have recently captured interest as a platform for many emerging technologies. In this paper, we present novel architecture multiport the sine–cosine fractal decomposition of unitary matrix. Our is unique in that it self-similar, enabling construction modular multi-chiplet devices. Due to modularity, our design enjoys imp...

Abstract In this paper, transform domain adaptive filter and its orthogonality properties such as Discrete Cosine Least Mean Square Transform (DCLMST), Discrete Sine Least Mean Square Transform (DSLMST), Discrete Fourier Least Mean Square Transform (DFLMST), Wavelet Domain Least Mean Square Adaptive Filter (WDLMSAF) and Wavelet Domain Normalized Least Mean Square Adaptive Filter (WDNLMSAF) are ...

In recent years, the wavelet transform emerged in the field of image/signal processing as an alternative to the well-known Fourier Transform (FT) and its related transforms, namely, the Discrete Cosine Transform (DCT) and the Discrete Sine Transform (DST). In the Fourier theory, a signal (an image is considered as a finite 2-D signal) is expressed as a sum, theoretically infinite, of sines and ...

This paper presents the resolution of sine and cosine as an infinite product from Schlomilch method. It also discusses convergence products sin θ cos θ. Some important Series Infinite Product has been evaluated.

Dynamic economic dispatch (DED) deals with the allocation of predicted load demand over a certain period time among thermal generating units at minimum fuel cost. The objective function DED becomes highly complex and nonlinear after considering various operating constraints like valve point loading, ramp rate limit, transmission loss, generation limits. In this study, sine-cosine algorithm has ...

The Dissertation a multi-focus image fusion approach using a new sharpness criterion that depends on statistics of image's gradient information is proposed in this dissertation. The proposed approach exploits a Discrete Cosine Wavelet criterion to adaptively perform image fusion by selecting most informative (sharp) information from the input images. The proposed Discrete Cosine Wavelet sharpne...

In this paper, a transform based methodology is presented for compression of electrocardiogram (ECG) signal. The methodology employs different transforms such as Discrete Wavelet Transform (DWT), Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT). A comparative study of performance of different transforms for ECG signal is made in terms of Compression ratio (CR), Percent root mean...

In this paper, Wavelet Transform, Fractional Fourier Transform (FrFT) and Fractional Cosine Transform (FrCT) are compared using Mean Square Error (MSE) and Peak signal-toNoise Ratio (PSNR) in the field of image compression. Wavelet provides better MSE and PSNR at lower Compression Ratio (CR), whereas FrFT provides good result at higher CR and FrCT provides same results as that of Wavelet at hig...

Compression of speech from the TIMIT corpus was investigated for several transform domain methods coding near-best and best bases from cosine and wavelet packet transforms. Satisficing (suboptimizing) search algorithms for selecting near-best bases were compared with optimizing algorithms for best bases in these adaptive tree-structured transforms. Experiments were performed on several hundred ...