One of the main features of joint sparse sensory data recovery (JPR) is to speed up the process of data recovery in cases of hardware failures and logical disk access errors. In such cases the frequency of diagnosis waves sent out through sinusoidal forms play an important role in increasing the probability of data recovery. Estimations which are derived by taking discrete samples of data in bits and bytes from the exact locations of failure can be highly helpful.
The formula is said to be one of the guiding principles in solving the complexity of data recovery by using the grid-less JPR algorithm. The manner of superimposition of sinusoidal signals generated by the diagnosis device when it comes to read of data in the bad sectors and other physically damaged areas of the disk is considered for data analysis procedure. A matrix is generated with the help of the signal input based on the formula. This is called the covariance matrix in which the variant denotes the characteristics of covariance matrix.
Statistical signal processing is one of the key elements of bug detection and elimination process. Another procedure named as atomic norm technique will be able to utilize the signal sparsity from the waves captured at the space of errors in the disk drive.
When the diagnostic tools are able to work with the help of OEM software tools attached to them, they will be able to capture continuous frequencies of sinusoidal waves generated by the disk drive when the repair is in progress. The technician is able to know precisely when the component has returned to working condition. At that stage he stops working on that restored component and moves on to the diagnosis and repair of the next component. When this cycle is repeated for all the failed components in the failed disk drive, the speed of restoration can be increased almost by 60%. These experiments have repeatedly proved to be success in the cases of diagnosis by adopting three methods of deep probing techniques like Scanning probe microscopy, magnetic force microscopy and scanning tunneling microscopy.
Working of Microscopic diagnosis
Scanning probe microscopy: – This is one of the methods which are common. This method uses a 3-D topographical imaging of the disk surface at the minuscule levels. With this type of probing the technician will be able to determine most types of surface defects in the disk.
Magnetic-Force-Microscopy: – This is another method of deep probing into the platters of disk drive. By using this method, the tool will be able to detect the complete set of old data written on the tracks and sectors of the disk drive, even after they have been overwritten with new files. When this hardware tool is sued along with OEM software from the product manufacturer, it is possible to recover most of the lost, corrupt and overwritten data from each sector in a bitwise manner. This is said to be one of the specialties of Linux based data recovery solutions.
The layers of data in the core disk areas that contain images of all the previously written data get gradually diminished with time. This is the reason for the data recovery experts to recommend immediate action when data is lost or gets corrupt. The images will be large enough for the hardware and software tools to detect them easily and increase the probability of maximum data recovery with ease.
Scanning-Tunneling-Microscopy: – This method of probing also goes deeper into the tracks and sectors of the disk drive, but it explores the sectors with the help of a probing-tip that is made of nickel metal. The diagnosing method goes into the bit level of tracks and sectors in the disk platters, starting from track zero of platter-zero till the last track of the last platter in the disk.
Numerical simulation is another well established method of frequency of data recovery performances in logical disk failures. This is extensively used for recovery of deleted files, lost clusters, corrupt file systems and other logical errors in the disk. Software applications make use of this method to recover lost and corrupt files in an accurate manner.
Frequency recovery is another algorithm used for restoration of lost partitions and file systems from the logically failed drives. It has the ability to get customized for various types of storage devices like HDD, SDD, flash cards, memory cards and other USB devices. This has been successfully implemented in most of the data recovery software applications specific to smart phones and android phones.
EaseUS is one of the many open source data recovery applications which is said to give full support for numerical frequency and frequency recovery algorithm in its own customized manner. You will be able to recover most of the currently common files of format .JPG, .PING, .DOC, .PDF, .AVI, .MP4 and other files. The other types of files supported by this software app are APK files, music files and other media and system files from the core Linux platform.
Working with cab sectors data recovery can be made simple with the help of frequency recovery as it probes deeper into the sectors and extracts bits of data from them. The OEM software application which accompanies the probing device is capable of converting these bits of recovered data into meaningful file formats. The link between master file tables, data on the recoverable sectors and the bits of data in the bad sectors are created by the OEM software application based on bitwise operators and bit based algorithms. This helps in completing the data structure of the complete files. The only problem you may face while recovering files in this manner is loss of original file names and sometimes their extensions. In such cases you need to deliberately sit and try to open them with the help of most appropriate application, once they are recovered. Once the files are in this manner you will be able to save them with different file names of your convenience.