In this paper, a comparison of the satellite image contrast enhancement techniques is being carried out. Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. Here discrete wavelet transform (DWT) is used as a base and two techniques for enhancing the images are compared. The DWT technique decomposes the input image into the four frequency subbands and in the first method it estimates the singular value matrix of the low-low subband image, and, then, it reconstructs the enhanced image by applying inverse DWT. The second technique is based on the interpolation of the highfrequency subbands obtained by discrete wavelet transform (DWT) and the input image. The high-frequency subband images and the input low-resolution image are interpolated and then combined together to generate a new resolution-enhanced image by using the inverse DWT technique. The experimental results show the comparison between the two methods which help us to make a choice for better satellite image enhancement technique.

By introducing an "antinoise" wave through secondary sources the active noise control (ANC) is achieved. Through an electronic system, the secondary sources are connected using a specific signal processing algorithm for the particular cancellation method. In this paper, we propose a method which is combination of both Feed-forward and Feedback active noise control systems called Hybrid active noise control (H-ANC) method. This method uses lower order filters and also reduces distortion generated by the feedback ANC. So this method is relatively more stable than feedback ANC. The Computation requirements for Hybrid ANC would be high and real-time implementations during one cycle. The algorithm generate the inverse waveform of the signal by collecting the noise information and update the filter coefficients effectively.Keywords-Active noise canceling model, secondary path estimation, feed forward ANC technique, feedback ANC technique.

Cognitive radio plays an important role in wireless communication. The spectrum has become a limited resource by ever increasing demand for wireless communications. For developing of new applications and services the existing spectrum allocation system creating a major problem. Cognitive radios are better solution to the problem of overcrowed and inefficient licensed spectrum. The sensing spectrum is the major key role in cognitive radio to find the free spectrum and favorable circumstances to use the unused frequency bands without causing intervention to the existing primary users(PUs).

As of late, numerous ecological control systems have been proposed to improve human personal satisfaction. In any case, little research has concentrated on environmental control directly using the human physiological state. The primary point of this paper is to control the physical gadgets like home machines utilizing EEG signals and to assist the physically disabled persons with controlling the home apparatuses, so they become autonomous in their everyday life. This methodology offers an elective correspondence and the control framework and is referred as an artificial system that evades the human body's typical enough pathways, which are neuromuscular yield channels. In this paper, a non-obtrusive Brain Computer Interface is utilized. The brainwave sensor is utilized to detect the brain signals and eye blink. As per the eye blink values and the brain attention values, the gadgets will be chosen and through transfers the turning ON and OFF the home apparatus are done as needs be. The experimental results show how to operate the modules like fan/bulb by blinking the eyes with help of ARM7 processor. It is observed that the mean response time of the system for bulb was found to be 15.6 sec with accuracy of 84.6% for ON state, and 21 sec with accuracy of 72.4% for OFF state.