A Compact Widely Tunable Bandpass Filter Dedicated to Preselectors

This article presents a novel compact widely tunable bandpass filter. The filter consists of two resonators that are double-coupled, inductively, where the coupling inductances are elements of the input and output networks. The application of double-coupling enabled the transmission zero next to the upper cutoff frequency. This makes the filter useful for applications in preselector networks used in receiving systems with a low to intermediate frequency with the desired channel frequency lower than the image channel frequency. The article shows the practical realisation of the varactor-tuned example filter fabricated as a microstrip planar network of an overall size of 0.03λg × 0.045λg. The tuning range of the proposed filter is from 410 MHz to 880 MHz with the fractional bandwidth equal to 7.5–8.1% and an in-band insertion loss better than −3.4 dB. The achieved IP3 value exceeds 17.5 dBm.

Health Risk Detection and Classification Model Using Multi-Model-Based Image Channel Expansion and Visual Pattern Standardization

Although mammography is an effective screening method for early detection of breast cancer, it is also difficult for experts to use since it requires a high level of sensitivity and expertise. A computer-aided detection system was introduced to improve the detection accuracy of breast cancer in mammography, which is difficult to read. In addition, research to find lesions in mammography images using artificial intelligence has been actively conducted in recent days. However, the images generally used for breast cancer diagnosis are high-resolution and thus require high-spec equipment and a significant amount of time and money to learn and recognize the images and process calculations. This can lower the accuracy of the diagnosis since it depends on the performance of the equipment. To solve this problem, this paper will propose a health risk detection and classification model using multi-model-based image channel expansion and visual pattern shaping. The proposed method expands the channels of breast ultrasound images and detects tumors quickly and accurately through the YOLO model. In order to reduce the amount of computation to enable rapid diagnosis of the detected tumors, the model reduces the dimensions of the data by normalizing the visual information and use them as an input for the RNN model to diagnose breast cancer. When the channels were expanded through the proposed brightness smoothing and visual pattern shaping, the accuracy was the highest at 94.9%. Based on the images generated, the study evaluated the breast cancer diagnosis performance. The results showed that the accuracy of the proposed model was 97.3%, CRNN 95.2%, VGG 93.6%, AlexNet 62.9%, and GoogleNet 75.3%, confirming that the proposed model had the best performance.

EACH FRAME POINT RESTORATION ERROR BASED SUPER-RESOLUTION METHOD

В работе предложен метод повышения пространственного разрешения по серии кадров низкого разрешения, использующий для формирования результирующего изображения значения погрешностей восстановления в точке каждого кадра. Метод объединяет в себе результаты многолетних исследований автора в области повышения качества изображений и видеозаписей. Предложенный метод разрабатывался для решения прикладных задач криминалистической экспертизы видеозаписей и предназначен для повышения визуального качества плоского локального объекта, находящегося близко к центру кадра. Метод состоит из трех этапов. Первый этап - процедура сверхразрешающего восстановления в каждом кадре с учетом непрерывно-дискретной модели наблюдения сигнала с сохранением сведений об ошибке такого восстановления в дополнительный канал обработки изображения. Второй – геометрическое согласование восстановленных кадров с применением геометрического преобразования к дополнительному каналу обработки. Третий – взвешенное оптимальное по критерию минимизации среднеквадратической ошибки комплексирование кадров. Преимуществами предлагаемого метода являются оценка погрешности восстанавливаемого изображения в каждой точке, а также учет искажений изображений в непрерывной области. В работе проведено экспериментальное исследование ошибки восстановления предлагаемого метода, полученные результаты сравнивались со случаем, не использующим авторские находки предлагаемого метода, - усредняющим комплексированием линейно интерполированных кадров. Линейная интерполяция была взята, поскольку она также вписывается в фильтровую модель восстановления изображения на первом этапе работы метода. Полученные результаты демонстрируют превосходство предлагаемого метода. In this paper, a method for multi-frame superresolution is proposed. It exploits the values ​​of the recovery errors at the point of each frame to form the resulting high-resolution image. The method combines the results of many years of author's research in the field of image and video processing. The proposed method aims to apply to forensic tasks of video analysis. The method improves the visual quality of a flat local object located close to the center of the frame. The method consists of three stages. The first stage is the procedure of optimal super-resolution recovery of each frame with the use of the continuous-discrete observation model. During this stage, the recovery errors are stored in an additional image channel. The second stage is the frames registration. A geometric transformation is also applied to the additional channel during this stage. The final stage is the weighted optimal fusing. The advantages of the proposed method are the estimation of the error of the restored image at each point and taking into account the image degradations in the continuous domain. Experimental research of the reconstruction error of the method was carried out. The results were compared with the case that does not use the novel features of the proposed method - averaging fusing of linear interpolated frames. Linear interpolation was chosen as it also fits into the filtering model of image recovery of the method's first stage. The obtained results show that the proposed method outperforms the other one.

Features of the development of broadband frequency mixers with suppression of the mirror channel in the range frequencies 9–27 GHz

The article is devoted to features of the development two types of broadband frequency mixers with image channel suppression in the frequency range 927 GHz. The purpose of the study is to determine the optimal ways to solve the problem of modeling complex multifunctional microwave units. The article discusses the development process of such functional units as the local oscillator amplifier, low-noise amplifier and frequency mixer. Comparisons of the calculated characteristics with the results of measurements of the manufactured models of the samples are given. Attention is also paid to the technology of manufacturing field-effect transistors, resistors and capacitors that are part of the functional units of the frequency mixer. The scientific novelty lies in the uniqueness of the product development, which includes several functional units on one crystal. As a result, two types of frequency mixers with suppression of the mirror channel in a package design have been created, which, in terms of their characteristics, can replace similar foreign products from Analog Devices.

ON SOFTWARE IMPROVEMENT OF IMAGE CHANNEL SUPPRESSION IN SDR RECEIVERS WITH ANALOG CONVERSION TO A LOW INTERMEDIATE FREQUENCY

A method for digital signal processing in SDR receivers with analog conversion to a low intermediate frequency is proposed. In contrast to known systems, the proposed approach does not consider parasitic phase and amplitude distortions, but uses the direct method minimizing of the signal of the mirror reception channel. Generally speaking, this can be done simultaneously at several frequencies. It is shown that in computational terms, this is reduced to signal processing by an algorithm similar to a digital non-recursive filter, and to determine its coefficients, it is sufficient to solve a system of linear algebraic equations.

PERSEPSI MEREK DAN GAYA HIDUP PEMAKAI TAS “CHANNEL” (Studi Pada KonsumenOnline Shop)

The purpose of this research is 1) To know and analyze the perception of consumers in the brand image (brand image) Channel bags and 2) To determine and analyze the lifestyle (lifestyle) Consumer Channel bag. The population in this study were all women in Malang who bought bags in the online shop, using judgmental sampling techniques can then be determined as many as 100 sample. The data analysis technique used in this research is the analysis of a range of scales.Based on the results of research and discussion that has been done, it can be concluded as follows: Consumer perception on brand image (brand image) bags Channel in the category brand catchy / recognizable, where the brand image (brand image) includes a unique logo, zipper logo chanel, stitch-patterned quilt (boxes), the price of comparable quality, have the serial number, made of calf leather and sheepskin, logo channel (2 c mesh), have the original card and rope chains of metal makes the consumer can easy to remember on Channel bag products. Perceptions on lifestyle (lifestyle) Consumer Channel bags can be obtained that the existence of the bag Channel can support activities, interests and opinions of consumers on the presence of products in the category Channel bag either. Lifestyle (lifestyle) consumer purse Channel can be seen that the respondents prefer to work outside the home, hobby of collecting bags, likes to shop, look for the latest fashion handbags. The consumer lifestyle can support recreational activities, family support on activities, knowledge, purchases of goods according to the needs and make the purchase because it becomes a habit.